Comparison of modified burrows wheeler transform with JPEG and JPEG2000 for image compression

Sonia Shabani; Alireza Zolghadrasli

doi:10.1117/12.918027

15 November 2011 Comparison of modified burrows wheeler transform with JPEG and JPEG2000 for image compression

Sonia Shabani, Alireza Zolghadrasli

Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83351D (2011) https://doi.org/10.1117/12.918027
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China

Abstract

In this research we present a new method for image compression which is a combination of lossy and lossless image coder .In lossy part we use a 3-level decomposition of discrete wavelet transform with hard threshold technique. lossless image coding part is Burrows Wheeler Transform (BWT) which has received considerable attention in recent years because of its simplicity and effectiveness. The BWT is used with other additional methods of image compression such as, MTF, RLE and entropy coding algorithms. the effectiveness of over method is presented and compare with JPEG and JPEG2000 for different images concidering criteria such as PSNR ,Compression Ratio (CR) and images quality(HVS) in our future works we use BWT with other source coding algorithm such as Lempel-Ziv and different mother function for DWT.

Citation Download Citation

Sonia Shabani and Alireza Zolghadrasli "Comparison of modified burrows wheeler transform with JPEG and JPEG2000 for image compression", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351D (15 November 2011); https://doi.org/10.1117/12.918027

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